
This textbook describes the hands-on application of data science techniques to solve problems in manufacturing and the Industrial Internet of Things (IIoT). Monitoring and managing operational performance is a crucial activity for industrial and business organisations. The emergence of low-cost, accessible computing and storage, through Industrial Digital Technologies (IDT) and Industry 4.0, has generated considerable interest in innovative approaches to doing more with data.
Data sc ...
DETAILS
Guide to Industrial Analytics
Solving Data Science Problems for Manufacturing and the Internet of Things
Hill, Richard, Berry, Stuart
Gebunden, xxv, 275 S.
XXV, 275 p. 172 illus., 108 illus. in color.
Sprache: Englisch
235 mm
ISBN-13: 978-3-030-79103-2
Titelnr.: 91321762
Gewicht: 617 g
Springer, Berlin (2021)
Herstelleradresse
Springer Heidelberg
Tiergartenstr. 17
69121 - DE Heidelberg
E-Mail: buchhandel-buch@springer.com